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Forward vehicle detection using cluster-based AdaBoost

Title
Forward vehicle detection using cluster-based AdaBoost
Author
김회율
Keywords
vehicle detection; forward collision warning system; AdaBoost; overfitting; advanced driver assistance system; ALGORITHM; FEATURES; SYSTEM
Issue Date
2014-04
Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
Citation
Optical engineering , Vol.53 No.10 [2014] , 102103
Abstract
A camera-based forward vehicle detection method with range estimation for forward collision warning system (FCWS) is presented. Previous vehicle detection methods that use conventional classifiers are not robust in a real driving environment because they lack the effectiveness of classifying vehicle samples with high intraclass variation and noise. Therefore, an improved AdaBoost, named cluster-based AdaBoost (C-AdaBoost), for classifying noisy samples along with a forward vehicle detection method are presented in this manuscript. The experiments performed consist of two parts: performance evaluations of C-AdaBoost and forward vehicle detection. The proposed C-AdaBoost shows better performance than conventional classification algorithms on the synthetic as well as various real-world datasets. In particular, when the dataset has more noisy samples, C-AdaBoost outperforms conventional classification algorithms. The proposed method is also tested with an experimental vehicle on a proving ground and on public roads, similar to 62 km in length. The proposed method shows a 97% average detection rate and requires only 9.7 ms per frame. The results show the reliability of the proposed method FCWS in terms of both detection rate and processing time. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
URI
https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-53/issue-10/102103/Forward-vehicle-detection-using-cluster-based-AdaBoost/10.1117/1.OE.53.10.102103.short?SSO=1http://hdl.handle.net/20.500.11754/50044
ISSN
0091-3286; 1560-2303
DOI
10.1117/1.OE.53.10.102103
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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